Literature DB >> 14500052

Balancing the number and size of sites: an economic approach to the optimal design of cluster samples.

Luke B Connelly1.   

Abstract

The design of randomized controlled trials entails decisions that have economic as well as statistical implications. In particular, the choice of an individual or cluster randomization design may affect the cost of achieving the desired level of power, other things being equal. Furthermore, if cluster randomization is chosen, the researcher must decide how to balance the number of clusters, or "sites," and the size of each site. This article investigates these interrelated statistical and economic issues. Its principal purpose is to elucidate the statistical and economic trade-offs to assist researchers to employ randomized controlled trials that have desired economic, as well as statistical, properties.

Mesh:

Year:  2003        PMID: 14500052     DOI: 10.1016/s0197-2456(03)00093-x

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  6 in total

1.  CONSORT statement: extension to cluster randomised trials.

Authors:  Marion K Campbell; Diana R Elbourne; Douglas G Altman
Journal:  BMJ       Date:  2004-03-20

2.  Sample size considerations when groups are the appropriate unit of analysis.

Authors:  Georgia Robins Sadler; Celine Marie Ko; Jennifer Alisangco; Bradley P Rosbrook; Eric Miller; Judith Fullerton
Journal:  Appl Nurs Res       Date:  2007-08       Impact factor: 2.257

3.  Optimal design of longitudinal data analysis using generalized estimating equation models.

Authors:  Jingxia Liu; Graham A Colditz
Journal:  Biom J       Date:  2016-11-23       Impact factor: 2.207

4.  Optimal designs in three-level cluster randomized trials with a binary outcome.

Authors:  Jingxia Liu; Lei Liu; Graham A Colditz
Journal:  Stat Med       Date:  2019-06-04       Impact factor: 2.373

5.  Cluster randomised trials with different numbers of measurements at baseline and endline: Sample size and optimal allocation.

Authors:  Andrew J Copas; Richard Hooper
Journal:  Clin Trials       Date:  2019-10-03       Impact factor: 2.486

6.  Methods for sample size determination in cluster randomized trials.

Authors:  Clare Rutterford; Andrew Copas; Sandra Eldridge
Journal:  Int J Epidemiol       Date:  2015-07-13       Impact factor: 7.196

  6 in total

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